These files replicate the analyses contained in "Inclusionary and Exclusionary Preferences: A Test of Three Cognitive Mechanisms"

Authors: Marika Landau-Wells, Kirsten O. Lydic, Joachim Kennedy, Benjamin G. Mittman, Todd W. Thompson, Akhil Gupta, and Rebecca Saxe

Corresponding author: Marika Landau-Wells (mlw@berkeley.edu)

Dataverse Archive Contents:
1. Study 1 (fMRI): 
	- Multivariate data (M1_Multivariate.csv)
	- Univariate data (ToM, CBMA) (M2_Univariate.csv, M3_Univariate.csv)
	- Subject file (Subject_Data_Shared.csv)
	- Replication code (RepCode_Study1.R)
	- Mentalizing network brain map (allTOM_atlas.nii)
	- Self-regulation search space brain map (er_cbma_C05_1k_clust.nii)
	- Glass brain visualization scripts (Fig2b_render.py, Fig3b_render.py)
2. Study 2 (text): 
	- NASIS embeddings (NASIS_Embeddings_n602.csv)
	- HVBA embeddings (Args_Unique_df_embeddings.csv, Args_2Dims_df_embeddings.csv)
	- Replication code (RepCode_Study2.R)

Guidance for obtaining the raw data used in Study 2 from the original sources is provided in the Replication Code.

Our group-level fMRI data (NIFTI files) can be found on Neurovault: https://identifiers.org/neurovault.collection:13022

Our pre-registrations can be found on OSF:
	- fMRI pre-registration: https://osf.io/b8d5h/
	- text analysis pre-registration: https://osf.io/m83n7/  

Visualizing our brain maps requires MRI-specific tools. The code provided works with MRIcroGL (v 1.2.2). Files can also be viewed using MR-specific packages in R (e.g., oro.nifti) or browser-based options such as mango (https://mangoviewer.com/)	
